The idea of how people connect changes with evolving technology and circumstances under which we interact. Both of these have drastically changed with the onset of the global pandemic. The perception of how people interact and perceive closeness is different from what was pre-pandemic and what is now, during the decline of the pandemic threat. The art installation Cartography of Touch aims to point out the need for human touch and uses digital and physical media of 3D printing and projection mapping of human physiology. It depicts response to touch to simulate the joining of technological age and the need for essential human interaction through physical touch, which cannot be replaced. The physical touch is shown through the plastic human hands with artificial responses.

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This paper focuses on the method for creating 3-dimensional (3D) digital models extracted from patient-specific scans of the brain. The described approach consists of several crossplatform stages: raw data segmentation, data correction in 3D-modelling software, postprocessing of the 3D digital models and their presentation on an interactive web-based platform. This method of data presentation offers a cost and time effective option to present medical data accurately. An important aspect of the process is using real patient data and enriching the traditional slice-based representation of the scans with 3D models that can provide better understanding of the organs' structures. The resulting 3D digital models also form the basis for further processing into different modalities, for example models in Virtual Reality or 3D physical model printouts. The option to make medical data less abstract and more understandable can extend their use beyond diagnosis and into a potential aid in anatomy and patient education. The methods presented in this paper were originally based on the master thesis 'Transparent Minds: Testing for Efficiency of Transparency in 3D Physical and 3D Digital Models', which focussed on creating and comparing the efficiency of transparent 3D physical and 3D digital models from real-patient data.